PIM Software Examples: What Real Teams Actually Use PIM For

Dagmara Śliwa
Dagmara Śliwa
The-Best-PIM-Software-for-Retailers (1)

Most PIM articles describe the software in abstract terms: centralise your data, enrich your content, publish it to sales channels. That explains the basic function, but it doesn’t show what a real team does inside a PIM on a Tuesday afternoon.

This article draws on detailed use case maps from Bluestone PIM customers across retail, manufacturing and B2B. Each PIM example shows where the data comes from, what teams do with it, where it goes next and what changed after implementation.

Key Takeaways

  • Real PIM use cases include localisation, B2B assortment management, technical documentation, partner onboarding, catalogue production and property data management.

  • Product data usually enters PIM from ERP, PLM, PDM or supplier systems before reaching commerce platforms, portals, CMSs and print.

  • Bluestone PIM manages the customer-facing product information layer, while operational and financial data remains in the ERP.

  • API-based integrations automate recurring data flows and reduce manual exports, file transfers and channel-by-channel updates. 

What Do These PIM Use Cases Show in Practice?

These PIM use cases show how the software works as the middle layer of a larger technology stack.

Product data enters from an ERP, PLM, supplier portal or spreadsheet. Teams then enrich it by writing descriptions, adding attributes, translating content, linking images and assigning categories. The completed information flows to e-commerce platforms, marketplaces, CMSs, dealer portals or print catalogues.

This middle layer is where PIM earns its place. The following examples focus on the work that happens there and the results it produces.

How Do Retailers Use PIM Software Across Multiple Markets?

Zeeman uses Bluestone PIM to prepare localised product content for more than 1,300 stores across Europe, its e-commerce site and mobile app. The platform supports around 40,000 SKUs.

Case study: Zeeman

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How Zeeman Cut Product Localisation from 6 Weeks to 1

Zeeman textielSupers B.V. aimed to modernise their e-commerce stack and reduce dependency on legacy systems. Using Bluestone PIM’s MACH-based platform they transformed product data operations and optimised their customer buying journey foundations.

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Product data starts in Zeeman’s PLM system. Teams enrich and localise it in Bluestone PIM before sending it to commercetools, Algolia and InDesign for digital and print channels. AI Linguist supports translation, content enrichment and proofreading.

Since the implementation, Zeeman has reduced product localisation time from six weeks to around one week. The new setup has cut manual work, duplicate information and errors across the product content process.

Company Zeeman
Industry Fashion retail
Data source PLM and digital assets
What they do in PIM Enrich and localise product data, manage workflows and publish content to digital and print channels
Results Localisation time fell from six weeks to around one week; the platform supports around 40,000 SKUs

 

How Does a Global Fashion Brand Use PIM at Scale?

A global fashion retailer uses Bluestone PIM as the central enrichment and localisation hub for more than 1 000,000 SKUs across seven brands and over 110 markets.

Global fashion Retailer Case Study

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How a Global Fashion Retailer Unified 1M+ SKUs

Faster product launches, AI-powered enrichment across 90+ languages, and a single source of truth for 4,000+ stores worldwide. A composable, MACH-based architecture with Bluestone PIM at the centre made it possible.

Product creation begins in a PLM system, where teams record designs, materials and sizing information. The ERP then creates a basic product variant in PIM with data such as legal identifiers and washing instructions.

A product enrichment team adds detailed attributes, while a separate content team writes titles and descriptions. Translation agencies localise the content and return it for review. Images enter the process from a DAM system.

The retailer manages its global category structure in PIM. Local teams can display or hide categories based on market needs. The same structure becomes the navigation and filtering system on each storefront.

Company Global retailer
Industry Fashion retail
Data source PLM, ERP, DAM and translation agencies
What they do in PIM Add attributes, create product content, manage translations and control global and local categories
Results One enrichment process supports 1 000,000+ SKUs, seven brands and 110+ markets

Can One PIM Serve Both B2C and B2B Teams?

Stadium uses Bluestone PIM to manage customer-facing product information for its retail business and club-specific assortments for its B2B Team Sales division.

Stadium Case Study

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How Stadium Replaced Inriver and Doubled B2B Growth

Stadium doubled its B2B division, cut translation costs, and unified product data across nearly 200 stores and 1,000+ sports clubs in three Nordic markets after replacing its legacy Inriver PIM with Bluestone PIM.

On the B2C side, Stadium enriches product data, manages localised content and sends it to its e-commerce platform. Product managers add short briefs in the PLM system, which product communicators use to prepare complete descriptions in PIM.

On the B2B side sales representatives sell sports kits and training equipment to clubs. Each club needs its own assortment with the correct brands, colours and size ranges. Sales representatives manage those assortments directly in Bluestone PIM.

When new seasonal products arrive, representatives update each club’s selection without maintaining separate spreadsheets. The same structured product data supports both sales models.

Stadium moved to Bluestone PIM from a legacy Inriver installation. The shared product data layer helped the company double its B2B Team Sales business without adding administrative headcount.

Company Stadium
Industry Fashion retail
Data source PLM, ERP, DAM and translation agencies
What they do in PIM Add attributes, create product content, manage translations and control global and local categories
Results One enrichment process supports 1 000,000+ SKUs, seven brands and 110+ markets

How Does a Measurement Equipment Manufacturer Keep Product Content Consistent?

A global manufacturer of environmental and industrial measurement equipment uses Bluestone PIM to manage customer-facing technical information.

Product data begins in a PDM system, while the ERP manages operational information and pricing. Bluestone PIM holds technical specifications, product documents, compliance information and localised content.

The completed information is sent to distributor channels, a self-service storefront and a CPQ system. External translation providers support the localisation process, including the management of specialist terminology and dictionary values.

Company

Global Manufacturer

Industry Environmental and industrial measurement equipment
Data source PDM, ERP and translation providers
What they do in PIM Manage specifications, documentation, compliance data and localised technical content
Results Consistent technical information reaches distributors, the storefront and CPQ system from one source

How Does Bergene Holm Manage Wood Product Data Across its Website and NOBB?

Bergene Holm is a Norwegian manufacturer of construction timber, profiled cladding and surface-treated wood products. The company manages more than 6,000 SKUs.

Case study: Bergene Holm

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Scaling Wood Products, Smarter

Bergene Holm turned to Bluestone PIM to simplify product data management and boost digital performance. Now, their team works smarter — with automated updates, better collaboration, and centralised sustainability data.

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Before Bluestone PIM, Bergene Holm used an open-source PIM that was difficult to update. Product information was scattered, collaboration took too much time and the PIM was disconnected from the company website. Teams had to make frequent website changes manually.

Bluestone PIM now connects product information with NOBB, the Norwegian Building Materials Database, and the company’s CMS. Teams enrich product data, manage category attributes and send images, documents and product selling points directly to the website and NOBB.

Bergene Holm stores environmental information in PIM and adapts product content for resellers and individual customers. Website updates are synchronised directly from Bluestone PIM, which reduces duplicate work.

Company

Bergene Holm

Industry Wood product manufacturing
Data source NOBB and internal product information 
What they do in PIM Enrich product data, manage category attributes, store environmental information and publish content
Results Automated website updates, less manual work and complete product information for different customer groups

How Does Automotive Company Manage Product and Compatibility Data?

KGK uses Bluestone PIM to combine standard ERP information with detailed automotive and product compatibility data.

One data stream comes from the ERP. Another comes from an external database containing automotive data, market research and compatibility information.

The enrichment team adds brand details, short and long descriptions, e-commerce attributes and compliance data in PIM. The completed information can then be prepared for digital sales channels.

KGK’s previous in-house PIM was 25 years old and struggled to represent the structures used in the external automotive database. Bluestone PIM introduced a more flexible data model for this information.

Company

KGK

Industry Automotive parts distribution
Data source ERP and external automotive database
What they do in PIM Add brand information, descriptions, e-commerce attributes, compliance records and compatibility data
Results A flexible data model replaced the limitations of a 25-year-old in-house PIM

Can PIM Manage Non-Product Data Like Property Listings?

Persimmon Homes uses Bluestone PIM to enrich and distribute structured information about housing developments and individual properties.

Property data enters Bluestone PIM from an ERP. The PIM team adds geolocation data, digital assets, metadata and development phase information. A Geolocation extension manages the map-related data.

The enriched content moves to Persimmon’s CMS, and powers property listings, maps, availability information and responsive website pages. Algolia provides front-end search.

This case extends the definition of a product beyond goods with traditional SKUs. A PIM can manage any large group of structured entities that need enrichment and distribution across digital channels.

Company

Persimmon Homes

Industry Housebuilding and real estate
Data source ERP
What they do in PIM Add geolocation, assets, metadata and development phase data before publishing it to CMS and search tools
Results Structured property data powers listings, maps, search and availability information

What Patterns Connect These PIM Use Cases?

Looking across all these examples, a few things are consistent.

Data Always Starts Somewhere Else

Every company in this document pulls data into PIM from upstream: ERP, PLM, PDM, supplier feeds, spreadsheets. Operational data stays in the ERP. PIM owns the customer-facing layer.

Enrichment Is A Team Sport

Product communicators, translators, sales reps, compliance specialists. Different roles work inside PIM at different stages. The system needs to support role-based access and workflows, not just data storage.

Distribution Is Multi-Channel By Default

Almost every company sends enriched data to at least two or three destinations: an e-commerce platform, a marketplace, a CMS, a dealer portal, a print tool. PIM's value increases with the number of downstream channels.

 

One thing connects every example above: a 100% API-only architecture. Every integration (ERP pull, PLM sync, Algolia push, CMS export, supplier portal ingestion) runs through the API. No batch exports, no FTP servers, no manual file transfers. That's what makes it possible to run the data flows described in this article without a large technical team maintaining them.

If your team is managing product data across multiple systems and channels, book a demo with Bluestone PIM to see how it would fit your stack. Not ready yet? The Complete Guide to PIM is a good place to start on your own.

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FAQ Section

1 - What types of companies use PIM software?

PIM is used by retailers, manufacturers, B2B distributors, and businesses in any sector that manages a large number of products or structured data entities. The examples above cover fashion retail, sports retail, industrial manufacturing, automotive parts distribution, IT reselling, playground equipment manufacturing, and property development.

2 - What do teams actually do inside a PIM system day to day?

The most common day-to-day tasks are: writing and editing product descriptions, managing translations, uploading and tagging digital assets, assigning products to categories and channels, checking data completeness, and running quality assurance on content before it goes live. In B2B settings, sales teams also use PIM to manage customer-specific assortments.

3 - How does PIM fit into a larger tech stack?

PIM connects upstream systems (ERP, PLM, supplier feeds) to downstream channels (e-commerce, marketplaces, CMS, print). It pulls structured operational data in, adds marketing and customer-facing content, and distributes enriched data out. In a composable architecture, every connection runs through the PIM's API.

4 - How long does it take to see results after implementing PIM?

It depends on the scope and the starting point. Zeeman reduced localisation time from six weeks to one within a year of implementation. Stadium was live within a short window from a previous PIM migration and stabilised quickly. The teams that see the fastest results are those that define their data model early and connect upstream and downstream systems before going live.

5 - What should I prioritise: API endpoint count or documentation quality?

Both matter, but documentation quality has a bigger impact on implementation speed. 700 well-documented endpoints are more useful than 1,000 poorly documented ones. Check whether the documentation includes request/response examples, error codes, and authentication instructions. Then verify accuracy by testing a few endpoints against real responses.
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